useR 2019 - Toulouse - 2019/07/09
sp & rgeos
sf
ggplot2 (Wickham, 2016) + ggspatial (Dunnington, 2018)sf objects.tmap (Tennekes, 2018)ggplot2)osrm: Get road distances (time) between each municipalities.
SpatialPosition: Compute gravitationnal accessibility based on road distances.
cartography: Classify data, color palettes, choropleth map, legend, map layout, figure ratio for export.sf: a lot of tricks
cartography::propSymolsLayer()
cartography::getPencilLayer()
cartography::choroLayer()
spatstats: KDE.
tanaka: Shaded contour lines.
cartography: Legend, map layout.
cartography::choroLayer()
cartography::getBorders()
cartography::discLayer()
https://github.com/riatelab/cartography
@rgeomatic